Novel approach to Marine Energy device instrumenting and real-time sensor data processing

海洋能源设备仪表和实时传感器数据处理的新方法

• 批准号: 2274922
• 金额: --
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2274922
• 关键词: Novel; approach; Marine; Energy; device

In order to meet the ever increasing global energy demand, additional energy sources must be explored. With increasing effects of climate change and finite fossil fuels, clean renewable energy must be utilised. Both wind and solar technologies are mature enough to be cost competitive, however, marine energy (tidal and wave technologies) - specifically tidal - is presently at the pre-commercial stage1. Tidal power is both energy dense and predictable, though it is spatially limited, relative geographic constrictions are required.One major challenge for tidal power progression at present is the lack of knowledge of tidal flow at high energy sites, this contributes to over engineering TECs which directly correspond to large expenses in both construction and levelised cost of energy (LCOE) - price of electricity is not sufficient to generate returns on investments2 . TECs currently replicate the wind industry, though operation conditions are dissimilar. Factors such as: boundary layer, bathymetry, coastline geometries and additional complications are experienced through the interaction between wave and currents throughout the water column.Site characterisations (required before deployment of TEC) utilise Acoustic Doppler Current Profilers (ADCPs), these devices collect data corresponding to tidal flow, direction and turbulence factors, different variations allow for longer ranges and depths with differing resolutions to be analysed. ADCPs are the most practical and economical instruments for obtaining instantaneous velocity profile measurements3. These data sets are expensive to acquire and only provide information from a single location. They are typically used to calibrate and validate wide-region numerical models which can provide more site-wide information.ADCPs come with uncertainties such as: random error; calibration; resolution error; device placement & orientation; temperature sensor and data acquisition. Currently, standards exist for determining uncertainties in calibrated instruments and measured results, these are part of the technical specification IEC 62600-200:20134, power performance assessment (PPA). These are largely based on the wind standard IEC 61400-12 PPA5, and there is a need to demonstrate the suitability of these specifically to tidal energy.The project will be carried out in collaboration with an industrial partner, EMEC and external relationships may be formed with developers throughout the project. Three universities will provide supervision (Edinburgh, Strathclyde and Exeter). The focus is to develop the IEC 62600-200 PPA in relation to uncertainty of results for the power curve. Real-time data processing of instruments will be analysed, exploring solutions to issues found with battery power or cable connection. Where possible, explore techniques and insights from real-time data processing to contribute to PPA. The work will also consider, where appropriate, other Industrial Guidance and work related to the broader challenge of Tidal Resource Characterisation.

为了满足日益增长的全球能源需求，必须开发更多的能源。随着气候变化和有限的化石燃料的影响越来越大，必须利用清洁的可再生能源。风能和太阳能技术都已足够成熟，具有成本竞争力，然而，海洋能源（潮汐和波浪技术）----特别是潮汐----目前还处于商业化前阶段1。潮汐能是能量密集和可预测的，尽管它在空间上是有限的，但需要相对的地理限制。目前潮汐能发展的一个主要挑战是缺乏高能量站点的潮汐流的知识，这导致了工程TEC过多，直接对应于建筑和平准能源成本（LCOE）的大量费用。电力价格不足以产生投资回报2。TEC目前复制了风能行业，尽管运行条件不同。这些因素包括：边界层、水深测量、海岸线几何形状和其他复杂情况通过波浪和水流之间的相互作用在整个水体中发生。现场特征（在部署TEC之前需要）使用声学多普勒海流剖面仪（ADCP），这些设备收集与潮汐流、方向和湍流因子相对应的数据，不同的变化允许以不同的分辨率分析更长的范围和深度。ADCP是获得瞬时速度剖面测量的最实用和最经济的仪器3。这些数据集的获取成本很高，而且只提供来自单一地点的信息。ADCP通常用于校准和验证广域数值模型，可以提供更多的站点范围的信息。ADCP具有不确定性，例如：随机误差;校准;分辨率误差;设备放置和方向;温度传感器和数据采集。目前，存在用于确定校准仪器和测量结果的不确定性的标准，这些标准是技术规范IEC 62600-200：20134，功率性能评估（PPA）的一部分。这些主要基于风能标准IEC 61400-12 PPA 5，并且需要证明这些特别适用于潮汐能。该项目将与工业合作伙伴EMEC合作进行，并且在整个项目中可能与开发商形成外部关系。三所大学将提供监督（爱丁堡、斯特拉斯克莱德和埃克塞特）。重点是制定与功率曲线结果不确定性相关的IEC 62600-200 PPA。将分析仪器的实时数据处理，探索电池电源或电缆连接问题的解决方案。在可能的情况下，探索实时数据处理的技术和见解，为PPA做出贡献。这项工作还将酌情考虑其他行业指南和与潮汐资源特征描述这一更广泛挑战有关的工作。